How I Scrape Thousands of Local Business Emails In 15 Minutes

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SUMMARY ⤵️
The simplest, most straightforward way I've found to scrape thousands of local business emails in minutes.

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Chapters:
00:00:00 Email Scraping for Local Businesses
00:13:23 Building the Scraper with Apify
00:35:39 Setting Up the Email Enrichment Process
00:39:49 Final Thoughts and Next Steps

[nicksaraev]

My new step-by-step program to get you your first automation customer is now live!

Results guaranteed. Apply fast: skool.com/makerschool/about. Price increases every 10 members 🙏😤

[jeremyyd]

Awesome video!
One thing I learned that you can do in Make is pass the Google Sheets Formula in the Add a Row step. I haven't tested it with this specific example, but it would be something like =split(5. Email list, ", ") in Make, and once it gets added to Google Sheets, it will split automatically.

Loving the content, thanks Nick!

[adhammashaly]

Nick, I rarely if ever comment and like content on youtube, I believe I have been on youtube for over 16 years now?(not this account in particular) but I love your content to the extent I am just liking every video I watch because you are providing liquid gold in my opinion, thank you so much for all the incredible videos! Hopefully soon I'll be able to join your network! Thank you again!

[patrickwenzek]

G'day, Nick. Thank you for providing amazing content!

You provide excellent insight on creating and selling AI automation, but rarely on maintenance and training after the product has been sold.

Once a client has received the automation template, how are training and maintenance/support handled? Are you charging a one-time fee or will you be kept on retainer? How did you scale while keeping your customers happy?

[AmazonBound]

BOOM! Super useful content, as always - thank you, Nick!

[patrick]

Can you make a beginner Video? How you decide which parameter you use to make automations? For example that if somebody filling out a form that automatically everything gets transferred to Clickup and automatically created an project folder in Drive with a unique number that there cannot be a confusion? Im not sure how to connect everything 😅

[sharlenesmith]

Oh awesome just what i need still finishing yesterday's tutorial

[KirillBoretskikh]

Nick, a quick question
There’s a law that prohibits sending emails without the recipient’s consent (both Canada and USA). Scraping tools can help collect emails, but as I understand it, I could face serious fines for sending emails to such a list without permission. Or am I wrong?

[SaidThaher]

Alwayes informative and no BS videos .. 👌

[mredark]

So useful - thanks Nick🙌
If the email enrichment could timeout on a big data set, do we need to split that step off in to a new scenario too?

[GMAgency-ai]

Nick one question, do you host your client scenarios in your make account or you do it in their account giving them the blueprint you previously did?

[lewis]

What mic you using? Sounds incredible.

[SaadBelcaid]

can't beat the black shirt, mf out here looking like a billionaire CEO 😤♥

[doctorxbuild]

does anymail finder require an active subscription to get the emails from Apify dataset? Mine is asking to add a URL, idk which URL.

[richardadonnell]

🎯 Key points for quick navigation:

00:00:00 *🏢 Introduction to Scraping Local Business Emails*
- Overview of the video’s focus on scraping local business emails quickly,
- Introduction to the tools and initial setup required for the scraping process.
00:02:18 *🔍 Setting Up the Scraping Process*
- Explanation of the process to locate and target businesses on Google Maps,
- Introduction to using Apify for web scraping without coding.
00:03:40 *⚙️ Utilizing Apify for Efficient Scraping*
- Advantages of using out-of-the-box scrapers from the Apify store,
- Steps to begin using a pre-built Google Maps extractor for targeted searches.
00:05:36 *💡 Customizing the Scraping Process*
- Explanation of deeper city scraping for more extensive data collection,
- Use case scenarios such as different city and location-based scraping to maximize data retrieval.
00:07:01 *📊 Reviewing Scraped Data Output*
- Details on what the scraped data includes, such as business images and URLs,
- Methods to filter data for more effective email enrichment.
00:08:52 *🔗 Integration with Make.com for Automation*
- Initiating the scraping run through Make.com,
- Explanation of integrating Apify with scenarios in Make.com for automation and data processing.
00:11:21 *🖥️ Automation Workflow Design*
- Setting input parameters in JSON for targeted scraping automation,
- Using variables in Make.com to generalize the scraping process across different locations.
00:14:18 *🏁 Finalizing Automation and Data Filtering*
- Running the scraping module through Make.com and retrieving collected data,
- Setup of data filters to refine output based on the presence of website URLs.
00:16:57 *🛠️ API Setup and Filter Configuration*
- Introduction of the Any Mail Finder API module for email scraping.
- Setting up a filter to ensure the website field exists before the email search.
00:19:15 *📄 Google Sheets Data Preparation*
- Creation of a Google Sheet for storing business data (name, website, phone number).
- Plan to add emails using a formula after data retrieval.
00:22:05 *🎨 Formatting and Presentation*
- Emphasis on the importance of presenting data attractively for clients in Google Sheets.
- Basic formatting changes to improve the aesthetic of the sheet.
00:23:55 *🚀 Running the Data Flow*
- Testing the functioning of the scraping and data insertion into the Google Sheet.
- Handling errors with formatting and logic in make.com for email extraction.
00:28:28 *📧 Handling Multiple Emails*
- Dealing with scenarios where multiple emails are found for a single business.
- Strategies for splitting and organizing email lists in the worksheet.
00:31:08 *⚙️ Improvements and Final Adjustments*
- Filtering for entries with emails to avoid rows with no email data.
- Hardcoding the first email in a list for consistent data formatting.
35:15 *⚡ System Functionality and Optimization*
- Brief overview of deriving email data efficiently from cached responses,
- Techniques to streamline the data extraction process for large datasets.
36:17 *🔄 Scenarios Separation and Scheduling*
- Separating tasks for efficiency: running an actor and processing local business data,
- Scheduling runs daily for an automated process management system.
37:17 *📡 Implementation of Webhooks and Data Handling*
- Use of webhooks to monitor specific processes and extract data in steps,
- Mapping datasets and controlling data processing to maintain formatting consistency.
38:27 *🔍 Data Extraction Outcomes and Adjustments*
- Execution and evaluation of data extraction, showcasing examples,
- Proposing deeper searches and larger datasets for comprehensive results.
39:21 *🚀 Exporting and Application of Blueprints*
- Exporting scenarios as blueprints for further use,
- Encouragement to apply learned methods for large-scale data scraping.

Made with HARPA AI

[caderyan]

Keep getting an error code on my anymail finder saying that I am not inputting a valid domain

[thefurmanuk]

Great video, very useful. Is there any reason to choose this over say RapidAPI? I am new to APIs so I don't know what is easiest or best to integrate with make. Thanks

[vora]

“I sold this system for $1000-$2000” dude tf actual legend stuff just showing us how to do it for free just mad really😂

[Divyv]

Hey Nick, really nice video ! I was wondering if I could help you with more Quality Editing in your videos and also make a highly engaging Thumbnail and also help you with the overall youtube strategy and growth ! Pls let me know what do you think ?